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filters.py
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filters.py
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# pip install git+https:/citymania-org/grf-py.git@ae4aeab54638cc206d3c969caae0e473a8636651#egg=grf
from PIL import Image
import numpy as np
import colorsys
import grf
rgb_to_hsv = np.vectorize(colorsys.rgb_to_hsv)
hsv_to_rgb = np.vectorize(colorsys.hsv_to_rgb)
CC_VALUE_TO_BRIGHTNESS = np.array([0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 55, 57, 58, 59, 59, 61, 61, 63, 64, 64, 65, 67, 68, 69, 69, 70, 72, 72, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 125, 125, 126, 127, 128, 128, 130, 131, 132, 133, 134, 134, 136, 136, 136, 138, 138, 141, 117, 117, 119, 119, 119, 119, 122, 122, 123, 123, 124, 125, 125, 127, 127, 128, 128, 129, 130, 131, 131, 132, 133, 134, 134, 134, 136, 136, 137, 138, 138, 140, 117, 118, 118, 119, 119, 120, 121, 121, 122, 122, 123, 123, 124, 125, 125, 126, 127, 127, 128, 128, 129, 130, 130, 131, 131, 132, 132, 134, 134, 134, 135, 136, 136, 136, 137, 119, 119, 120, 120, 121, 122, 122, 123, 123, 124, 124, 125, 126, 126, 126, 127, 127, 128, 128, 129, 130, 130, 130, 131, 132, 132, 132, 133, 134, 134, 134, 136, 136, 136, 136, 137, 138, 121, 121, 121, 122, 122, 123, 123, 123, 123, 125, 125, 125, 125, 126, 126, 127, 127, 127, 128, 128, 128, 129, 130, 130, 131, 131, 131, 132, 132, 133, 133, 133, 134, 135, 135, 135, 135, 136, 136, 137, 138, 120, 120, 120, 121, 122, 122, 123, 123, 123, 123, 124, 124, 125, 125, 125, 126, 126, 127, 127, 127, 127, 128, 128, 128, 129, 129, 130, 130, 131, 131, 132, 132, 132, 133, 134, 134, 134, 134, 135, 135, 136, 136, 137, 138, 138, 138, 138, 139, 139, 121, 121, 121, 122, 122, 122, 122, 123, 123, 124, 124, 124, 124, 125, 125, 125, 126, 126, 126, 127, 127, 127, 127, 128, 128, 129, 129, 129, 130, 130, 131, 131, 131, 132, 132, 133, 133, 134, 134, 134, 135, 135, 135, 136, 137, 137, 137, 137, 137, 139, 139, 122, 123, 123, 123, 123, 124, 124, 124, 125, 125, 125, 126, 126, 126, 126, 127, 127, 127, 127, 128, 128, 129, 129, 130, 130, 130, 130, 131, 131, 132, 132, 132, 132, 133, 133, 133, 133, 134, 134, 135, 135, 135, 135, 136, 136, 137, 137, 137, 137, 138, 138, 139, 139, 139, 139, 140, 140, 141, 141, 141, 141, 142, 142, 142, 142, 143, 143, 144, 144, 144, 144, 145, 145, 146, 146, 147, 147, 148, 148, 149, 149, 149, 149, 151, 151, 151, 151, 152, 152, 153, 153, 153, 153, 153, 153, 155, 155, 155, 155, 156, 156, 157, 157, 158, 158, 159, 159, 159, 159, 160, 160, 160, 160, 162, 162, 163, 163, 163, 163, 164, 164, 166, 166, 166, 166, 166])
CC_VALUE_TO_INDEX = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7])
CC_ONE = (0, 0xC6, CC_VALUE_TO_BRIGHTNESS, CC_VALUE_TO_INDEX) # First company colour range
CC_TWO = (0, 0x50, CC_VALUE_TO_BRIGHTNESS, CC_VALUE_TO_INDEX) # Second company colour range
class SpriteMasker:
def make_mask(self, rgb):
raise NotImplementedError
def get_fingerprint(self):
raise NotImplementedError
class HueMasker(SpriteMasker):
def __init__(self, hue):
self.hue = hue / 360.
def make_mask(self, rgb):
r, g, b, a = np.rollaxis(rgb, axis=-1)
h, s, v = rgb_to_hsv(r, g, b)
m = (v > 31) & (s >= .1) & (h == self.hue)
return m
def get_fingerprint(self):
return {
'class': self.__class__.__name__,
'hue': self.hue,
}
class SaturationMasker(SpriteMasker):
def __init__(self, sat):
self.sat = sat
def make_mask(self, rgb):
r, g, b, a = np.rollaxis(rgb, axis=-1)
h, s, v = rgb_to_hsv(r, g, b)
m = s >= self.sat
return m
def get_fingerprint(self):
return {
'class': self.__class__.__name__,
'sat': self.sat,
}
class SpriteFilter:
def apply_filter(self, sprite):
raise NotImplementedError
class AdjustHsvSprite(grf.SpriteWrapper):
def __init__(self, sprite, hue, sat, val, masker):
super().__init__((sprite, ))
self.sprite = sprite
self.hue = hue / 360.
self.sat = sat
self.val = val
self.masker = masker
self.w = None
self.h = None
def adjust_hsv(self, arr):
r, g, b, a = np.rollaxis(arr, axis=-1)
h, s, v = rgb_to_hsv(r, g, b)
h = (h + self.hue) % 1.
s = np.clip(s * self.sat, 0, 1)
v = np.clip(v * self.val, 0, 255)
r, g, b = hsv_to_rgb(h, s, v)
arr = np.dstack((r, g, b, a))
return arr
def get_data_layers(self, context):
w, h, rgb, alpha, mask = self.sprite.get_data_layers(context)
if rgb is None or alpha is None:
raise RuntimeError(f"{self.__class__.__name__} requires RGB and Alpha data layers")
timer = context.start_timer()
rgba = np.dstack((rgb, alpha)).astype(float)
if self.masker is None:
rgba = self.adjust_hsv(rgba)
else:
filter_mask = self.masker.make_mask(rgba)
adjust = self.adjust_hsv(rgba[filter_mask])
rgba[filter_mask] = adjust
if self.bpp == grf.BPP_32:
rgb, alpha = rgba[:, :, :3].astype('uint8'), rgba[:, :, 3].astype('uint8')
else:
rgb, alpha = rgba[:, :, :3].astype('uint8'), None
timer.count_custom(f'{self.__class__.__name__} processing')
return w, h, rgb, alpha, mask
def get_fingerprint(self):
return {
'class': self.__class__.__name__,
'sprite': self.sprite.get_fingerprint(),
'hue': self.hue,
'sat': self.sat,
'val': self.val,
'masker': None if self.masker is None else self.masker.get_fingerprint()
}
class AdjustHsvFilter(SpriteFilter):
def __init__(self, *, hue=0., sat=1., val=1, masker=None):
self.hue = hue
self.sat = sat
self.val = val
self.masker = masker
def apply_filter(self, sprite):
return AdjustHsvSprite(sprite, self.hue, self.sat, self.val, self.masker)
class MakeCCSprite(grf.SpriteWrapper):
def __init__(self, sprite, maskercc1, maskercc2):
super().__init__((sprite, ))
self.sprite = sprite
self.maskercc1 = maskercc1
self.maskercc2 = maskercc2
self.w = None
self.h = None
def apply_cc(self, npimg, mask, cc, cc_mask):
_fingerprint, first, vtb, vti = cc
value = npimg[cc_mask][:, 0].astype(np.uint16) + npimg[cc_mask][:, 1]
npimg[cc_mask, 0] = vtb[value]
npimg[cc_mask, 1] = vtb[value]
npimg[cc_mask, 2] = vtb[value]
mask[cc_mask] = vti[value] + first
def get_data_layers(self, context):
w, h, rgb, alpha, mask = self.sprite.get_data_layers(context)
if rgb is None or alpha is None:
raise RuntimeError(f"{self.__class__.__name__} requires RGB and Alpha data layers")
timer = context.start_timer()
self.bpp = self.sprite.bpp
rgna = np.dstack((rgb, alpha))
mask = np.zeros((h, w), dtype=np.uint8)
if self.maskercc1 is not None: maskcc1 = self.maskercc1.make_mask(rgna)
if self.maskercc2 is not None: maskcc2 = self.maskercc2.make_mask(rgna)
if self.maskercc1 is not None: self.apply_cc(rgna, mask, CC_ONE, maskcc1)
if self.maskercc2 is not None: self.apply_cc(rgna, mask, CC_TWO, maskcc2)
if self.bpp == grf.BPP_32:
rgb, alpha = rgna[:, :, :3], rgna[:, :, 3]
else:
rgb, alpha = rgna, None
timer.count_custom(f'{self.__class__.__name__} processing')
return w, h, rgb, alpha, mask
def get_fingerprint(self):
return {
'class': self.__class__.__name__,
'sprite': self.sprite.get_fingerprint(),
'masker1': None if self.maskercc1 is None else self.maskercc1.get_fingerprint(),
'masker2': None if self.maskercc2 is None else self.maskercc2.get_fingerprint(),
}
class MakeCCFilter(SpriteFilter):
def __init__(self, maskercc1 = None, maskercc2 = None):
self.maskercc1 = maskercc1
self.maskercc2 = maskercc2
def apply_filter(self, sprite):
return MakeCCSprite(sprite, self.maskercc1, self.maskercc2)
class PaletteImage:
def __init__(self, colours):
self.colours = colours
self.palette = None
def generate(self):
img = Image.new('P', (16, 16))
pal = sum([grf.PIL_PALETTE[3 * i: 3 * i + 3] for i in self.colours], ())
img.putpalette(pal)
return img
def get_palette(self):
if self.palette is None:
self.palette = self.generate()
return self.palette
def load(self):
raise NotImplementedError("Call .get_palette() instead of passing directly")
CC1_SAFE_COLOURS = tuple((*range(0x01, 0xC6), *range(0xCE, 0x09), 0xFF))
CC2_SAFE_COLOURS = tuple((*range(0x01, 0x50), *range(0x58, 0x6E), *range(0xCE, 0x09), 0xFF))
SAFE_PALETTE_IMG = PaletteImage(grf.SAFE_COLOURS)
CC1_SAFE_PALETTE_IMG = PaletteImage(CC1_SAFE_COLOURS)
CC2_SAFE_PALETTE_IMG = PaletteImage(CC2_SAFE_COLOURS)
class QuantizeSprite(grf.SpriteWrapper):
def __init__(self, sprite):
super().__init__((sprite, ))
self.sprite = sprite
self.bpp = grf.BPP_8
self.w = None
self.h = None
def get_data_layers(self, context):
w, h, rgb, alpha, mask = self.sprite.get_data_layers(context)
if rgb is None or alpha is None:
raise RuntimeError(f"{self.__class__.__name__} requires RGB and Alpha data layers")
timer = context.start_timer()
rgba = np.dstack((rgb, alpha))
transparent = (alpha < 128)
if mask is not None:
masked = (mask > 0)
else:
masked = None
# If a mask is present then it likely contains CC pixels, so avoid using CC pixels when quantizing.
palette = SAFE_PALETTE_IMG if mask is None else CC2_SAFE_PALETTE_IMG
# Use PIL to quantize the image
img = Image.fromarray(rgba[:, :, :3])
img8 = img.quantize(palette=palette.get_palette(), dither=Image.Dither.NONE)
npimg8 = np.array(img8)
# Use numpy to remap non-safe colours?
remap = np.array(grf.SAFE_COLOURS, dtype=np.uint8)
npimg8 = remap[npimg8]
# Transparent pixels should have palette index 0.
if transparent is not None:
npimg8[transparent] = 0
# Reapply original mask pixels.
if masked is not None:
npimg8[masked] = mask[masked]
timer.count_custom(f'{self.__class__.__name__} processing')
return w, h, None, None, npimg8
def get_fingerprint(self):
return {
'class': self.__class__.__name__,
'sprite': self.sprite.get_fingerprint(),
}